https://www.youtube.com/watch?v=LbYrCpPo8k0&ab_channel=StanfordHAI
#reinforcement_learning #abtest #rct #stanford #team #mab #cost #experiement
#game_industry #history
https://www.youtube.com/watch?v=HbzO88fy_lI&ab_channel=stupidmadworld
https://neptune.ai/blog/data-lineage-in-machine-learning
#reinforcement_learning #abtest #rct #stanford #team #mab #cost #experiement
#game_industry #history
https://www.youtube.com/watch?v=HbzO88fy_lI&ab_channel=stupidmadworld
https://neptune.ai/blog/data-lineage-in-machine-learning
YouTube
Mohsen Bayati: The Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandits
The stochastic multi-armed bandit (MAB) is a benchmark model for decision-making under uncertainty. MABs are used in a wide range of applications, from Internet advertising to healthcare. Now, new research has suggested that algorithms for MAB problems that…
#llm #gpt #cost #best_practice #RAG
ROUTELLM: LEARNING TO ROUTE LLMS WITH
PREFERENCE DATA
https://arxiv.org/pdf/2406.18665
Searching for Best Practices in Retrieval-Augmented
Generation
https://arxiv.org/pdf/2407.01219
ROUTELLM: LEARNING TO ROUTE LLMS WITH
PREFERENCE DATA
https://arxiv.org/pdf/2406.18665
Searching for Best Practices in Retrieval-Augmented
Generation
https://arxiv.org/pdf/2407.01219